现代科学仪器Issue(5)：95-98,4.
模糊Kohonen神经网络的旋转机械故障诊断
Fuzzy Fault Diagnosis for Rotating Machinery Based on Kohonen Neural Network
谢长贵 1谢志江1
作者信息
- 1. 重庆大学机械传动国家重点实验室,重庆400044
- 折叠
摘要
Abstract
Aiming to traditional fault diagnosis methods can not solve rotating machinery diagnosis problem,a fault diagnosis method for a fuzzy Kohonen neural network was proposed based on diagnostic working principles.Fuzzy quantifying processing fault sample modle and improving learning algorithm were used,it made neighborhood function autoly adjusting weight degree,network’s leaning speed and clustering capability can be improved greatly.The fuzzy Kohonen network can diagnose single and muitiple faults of fuzziness.It is an effective and suitable method for fault diagnosis of rotating machinery.关键词
旋转机械/模糊处理/Kohonen神经网络/故障诊断Key words
Rotating machinery/Fuzzy treatment/Kohonen network/Faultdiagnosis分类
能源科技引用本文复制引用
谢长贵,谢志江..模糊Kohonen神经网络的旋转机械故障诊断[J].现代科学仪器,2012,(5):95-98,4.
